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44 lines
2.4 KiB
Markdown
44 lines
2.4 KiB
Markdown
## OpenVINO Support
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This tutorial is based on Linux systems like Ubuntu-18.04.
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### Installation
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1. Install [OpenVINO](https://docs.openvinotoolkit.org/latest/installation_guides.html).
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2. Install MMdeploy following the [instructions](../build.md).
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### Usage
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Example:
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```bash
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python tools/deploy.py \
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configs/mmdet/single-stage/single-stage_openvino_dynamic.py \
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/mmdetection_dir/mmdetection/configs/ssd/ssd300_coco.py \
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/tmp/snapshots/ssd300_coco_20210803_015428-d231a06e.pth \
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tests/data/tiger.jpeg \
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--work-dir ../deploy_result \
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--device cpu \
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--log-level INFO \
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```
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### List of supported models exportable to OpenVINO from MMDetection
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The table below lists the models that are guaranteed to be exportable to OpenVINO from MMDetection.
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| Model name | Config | Dynamic Shape |
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| :----------------: | :-----------------------------------------------------------------: | :-----------: |
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| FCOS | `configs/fcos/fcos_r50_caffe_fpn_gn-head_4x4_1x_coco.py` | Y |
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| FSAF | `configs/fsaf/fsaf_r50_fpn_1x_coco.py` | Y |
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| RetinaNet | `configs/retinanet/retinanet_r50_fpn_1x_coco.py` | Y |
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| SSD | `configs/ssd/ssd300_coco.py` | Y |
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| Faster R-CNN | `configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py` | Y |
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| Cascade R-CNN | `configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.py` | Y |
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| Mask R-CNN | `configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py` | Y |
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| Cascade Mask R-CNN | `configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.py` | Y |
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| FoveaBox | `configs/foveabox/fovea_r50_fpn_4x4_1x_coco.py ` | Y |
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| ATSS | `configs/atss/atss_r50_fpn_1x_coco.py` | Y |
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Notes:
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- For faster work in OpenVINO in the Faster-RCNN, Mask-RCNN, Cascade-RCNN, Cascade-Mask-RCNN models
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the RoiAlign operation is replaced with the [ExperimentalDetectronROIFeatureExtractor](https://docs.openvinotoolkit.org/latest/openvino_docs_ops_detection_ExperimentalDetectronROIFeatureExtractor_6.html) operation in the ONNX graph.
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